Space-Frequency Vector Construction for Channel Estimation Overhead Reduction
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Solution Overview
Problem
In MIMO wireless communication systems, the existing precoding methods require high indication overheads as they independently indicate precoding vectors for each frequency band, which can be cumbersome and inefficient.
Innovation Solution
A channel estimation method that generates and sends indication information to construct an M×N-dimensional space-frequency vector using L space-frequency basis vectors, where each vector is a three-dimensional oversampled discrete Fourier transform (DFT) vector, reducing the need for independent indication of precoding vectors across frequency bands by performing a weighted combination of space-frequency component vectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If precoding vectors for each frequency band are independently indicated, then the precision of channel estimation is improved, but the indication overhead increases
Solution Approach 1:
The patent segments the frequency domain into multiple frequency bands and represents precoding vectors using separate space domain component vectors and frequency domain component vectors. This segmentation allows independent optimization of each domain while reducing overall indication overhead through compact representation of the separated components.
Solution Approach 2:
The patent transforms the traditional single-dimension frequency-domain representation into a two-dimensional representation by separating space domain and frequency domain components. This dimensional transformation enables more efficient compression and indication by exploiting the structure in both domains simultaneously, reducing indication overhead while maintaining estimation precision.
2Measurement precision
If multiple space-frequency basis vectors are used to construct the space-frequency vector, then the representation accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent segments the space-frequency vector construction into separate space domain component vectors and frequency domain component vectors. By dividing the construction process into these separable components, the system can select and process basis vectors independently in each domain, improving representation accuracy while managing complexity through modular processing.
Solution Approach 2:
The patent changes the parameters of the basis vectors by using oversampled DFT vectors with configurable dimensions (Nf×N where Nf≥M≥1, N≥2). This parameter flexibility allows optimization of representation accuracy by adjusting the oversampling factor and vector dimensions while maintaining manageable computational complexity through structured parameter selection.
Data Source
AI summary
Embodiments of this application disclose a channel estimation method and apparatus, and relate to the field of communications technologies. One example method include: generating and sending indication information, where the indication information is used to indicate L space-frequency basis vectors for constructing an M×N-dimensional space-frequency vector; the space-frequency vector includes M N-dimensional precoding vectors, each precoding vector is used in one of M frequency bands, and the space-frequency vector is generated by performing a weighted combination on L space-frequency component vectors; each of the L space-frequency component vectors is a vector including M×N elements that are in one of the L space-frequency basis vectors, and each of the L space-frequency basis vectors is an Nf×N-dimensional vector; the space-frequency basis vector is a three-dimensional oversampled (DFT) vector; and L≥2, Nf≥M≥1, N≥2, and L, M, N, and Nf are all integers.